Research on Embedded Machine Vision Inspection System Based on FPGA

Abstract

With the improvement of automation level, detection systems and real-time processing systems based on machine vision appear more and more frequently in people's lives, and are widely used in public security traffic, safety monitoring, mechanical tests, industrial detection and other fields. On the basis of analyzing the structure and working mode of FPGA (Field Programmable Gate Array), this paper points out the advantages of using FPGA for image acquisition and real-time processing to solve the real-time problem of the system. An embedded machine vision scheme based on FPGA with processor core is designed, and the hardware platform of embedded machine vision detection system is built. On this basis, the system has completed the basic functions including image acquisition, ARM-FPGA data interaction and data output. Effectively solve many shortcomings of traditional PC-based machine vision detection system; It has been verified that the system is efficient and reliable, and can replace the traditional PC-based machine vision inspection system in some industrial occasions, and continuously and stably measure and control products.